| 1 |
Comparative evaluation of performance and emissions of CNG engine for heavy-duty vehicles fueled with various caloric natural gases
Park C, Kim C, Lee S, Lee S, Lee J
Energy, 174, 1, 2019 |
| 2 |
Adaptive learning based data-driven models for predicting hourly building energy use
Wang LP, Kubichek R, Zhou XH
Energy and Buildings, 159, 454, 2018 |
| 3 |
Discrete-time switching periodic adaptive control for time-varying parameters with unknown periodicity
Yu M, Huang DQ, Yang WQ
International Journal of Control, 91(6), 1314, 2018 |
| 4 |
HVAC system energy optimization using an adaptive hybrid metaheuristic
Ghahramani A, Karvigh SA, Becerik-Gerber B
Energy and Buildings, 152, 149, 2017 |
| 5 |
Global adaptive stabilisation for nonlinear systems with unknown control directions and input disturbance
Man YC, Liu YG
International Journal of Control, 89(5), 1038, 2016 |
| 6 |
Negotiation context analysis in electricity markets
Pinto T, Vale Z, Sousa TM, Praca I
Energy, 85, 78, 2015 |
| 7 |
An efficient scenario-based and fuzzy self-adaptive learning particle swarm optimization approach for dynamic economic emission dispatch considering load and wind power uncertainties
Bahmani-Firouzi B, Farjah E, Azizipanah-Abarghooee R
Energy, 50, 232, 2013 |
| 8 |
A new algorithm for combined heat and power dynamic economic dispatch considering valve-point effects
Bahmani-Firouzi B, Farjah E, Seifi A
Energy, 52, 320, 2013 |
| 9 |
Optimal planning of Molten Carbonate Fuel Cell Power Plants at distribution networks considering Combined Heat, Power and Hydrogen production
Niknam T, Bornapour M, Ostadi A, Gheisari A
Journal of Power Sources, 239, 513, 2013 |
| 10 |
Studies on prediction of separation percent in electrodialysis process via BP neural networks and improved BP algorithms
Jing GL, Du WT, Guo YY
Desalination, 291, 78, 2012 |
